Diabetes Features

Dataset statistics

Number of variables	23
Number of observations	7697
Missing cells	13107
Missing cells (%)	7.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	699.2 KiB
Average record size in memory	93.0 B

Variable types

Numeric	17
Categorical	6

Warnings

`df_index` is highly correlated with `SampleID`	High correlation
`SampleID` is highly correlated with `df_index`	High correlation
`incident_diabetes` is highly correlated with `diabetes_time`	High correlation
`diabetes_time` is highly correlated with `incident_diabetes`	High correlation
`SBP` is highly correlated with `DBP`	High correlation
`DBP` is highly correlated with `SBP`	High correlation
`fasting_glucose` is highly correlated with `HbA1c`	High correlation
`HbA1c` is highly correlated with `fasting_glucose`	High correlation
`healthy_vegetables` is highly correlated with `total_fiber`	High correlation
`total_fiber` is highly correlated with `healthy_vegetables`	High correlation
`df_index` is highly correlated with `SampleID`	High correlation
`SampleID` is highly correlated with `df_index`	High correlation
`age` is highly correlated with `junk_food`	High correlation
`BMI` is highly correlated with `fasting_insulin`	High correlation
`SBP` is highly correlated with `DBP`	High correlation
`DBP` is highly correlated with `SBP`	High correlation
`fasting_insulin` is highly correlated with `BMI`	High correlation
`healthy_vegetables` is highly correlated with `total_fiber`	High correlation
`junk_food` is highly correlated with `age`	High correlation
`total_fiber` is highly correlated with `healthy_vegetables`	High correlation
`df_index` is highly correlated with `SampleID` and 4 other fields	High correlation
`SampleID` is highly correlated with `df_index` and 4 other fields	High correlation
`incident_diabetes` is highly correlated with `df_index` and 4 other fields	High correlation
`diabetes_time` is highly correlated with `male` and 3 other fields	High correlation
`age` is highly correlated with `current_smoker` and 1 other fields	High correlation
`male` is highly correlated with `diabetes_time` and 3 other fields	High correlation
`BMI` is highly correlated with `current_smoker` and 1 other fields	High correlation
`HDL` is highly correlated with `hypertension` and 2 other fields	High correlation
`LDL` is highly correlated with `hypertension` and 2 other fields	High correlation
`trig` is highly correlated with `hypertension` and 2 other fields	High correlation
`SBP` is highly correlated with `current_smoker` and 1 other fields	High correlation
`DBP` is highly correlated with `current_smoker` and 1 other fields	High correlation
`hypertension` is highly correlated with `df_index` and 9 other fields	High correlation
`fasting` is highly correlated with `current_smoker` and 1 other fields	High correlation
`fasting_glucose` is highly correlated with `current_smoker` and 1 other fields	High correlation
`fasting_insulin` is highly correlated with `current_smoker` and 2 other fields	High correlation
`HbA1c` is highly correlated with `current_smoker` and 1 other fields	High correlation
`current_smoker` is highly correlated with `df_index` and 17 other fields	High correlation
`ex_smoker` is highly correlated with `df_index` and 17 other fields	High correlation
`exercise` is highly correlated with `fasting_insulin`	High correlation
`healthy_vegetables` is highly correlated with `total_fiber`	High correlation
`total_fiber` is highly correlated with `healthy_vegetables`	High correlation
`incident_diabetes` is highly correlated with `diabetes_time`	High correlation
`DBP` is highly correlated with `SBP`	High correlation
`total_fiber` is highly correlated with `healthy_vegetables`	High correlation
`diabetes_time` is highly correlated with `incident_diabetes` and 1 other fields	High correlation
`df_index` is highly correlated with `SampleID`	High correlation
`SBP` is highly correlated with `DBP` and 1 other fields	High correlation
`HbA1c` is highly correlated with `fasting_glucose`	High correlation
`SampleID` is highly correlated with `df_index`	High correlation
`healthy_vegetables` is highly correlated with `total_fiber`	High correlation
`hypertension` is highly correlated with `SBP`	High correlation
`fasting_glucose` is highly correlated with `diabetes_time` and 1 other fields	High correlation
`fasting_glucose` has 4421 (57.4%) missing values	Missing
`fasting_insulin` has 4421 (57.4%) missing values	Missing
`HbA1c` has 3348 (43.5%) missing values	Missing
`exercise` has 112 (1.5%) missing values	Missing
`healthy_vegetables` has 168 (2.2%) missing values	Missing
`junk_food` has 136 (1.8%) missing values	Missing
`total_fiber` has 419 (5.4%) missing values	Missing
`df_index` is uniformly distributed	Uniform
`SampleID` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`SampleID` has unique values	Unique

Reproduction

Analysis started	2021-08-13 20:10:22.380968
Analysis finished	2021-08-13 20:11:06.211420
Duration	43.83 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	7697
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4148.146421

Minimum	1
Maximum	8290
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	60.3 KiB

Quantile statistics

Minimum	1
5-th percentile	423.8
Q1	2076
median	4147
Q3	6217
95-th percentile	7878.2
Maximum	8290
Range	8289
Interquartile range (IQR)	4141

Descriptive statistics

Standard deviation	2390.894749
Coefficient of variation (CV)	0.5763766527
Kurtosis	-1.196031006
Mean	4148.146421
Median Absolute Deviation (MAD)	2071
Skewness	0.001183643904
Sum	31928283
Variance	5716377.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
5431	1	< 0.1%
5527	1	< 0.1%
5526	1	< 0.1%
5525	1	< 0.1%
5524	1	< 0.1%
5522	1	< 0.1%
5521	1	< 0.1%
5520	1	< 0.1%
5519	1	< 0.1%
Other values (7687)	7687	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
8290	1	< 0.1%
8289	1	< 0.1%
8288	1	< 0.1%
8287	1	< 0.1%
8286	1	< 0.1%
8285	1	< 0.1%
8284	1	< 0.1%
8283	1	< 0.1%
8282	1	< 0.1%
8281	1	< 0.1%

SampleID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	7697
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4149.146421

Minimum	2
Maximum	8291
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	2
5-th percentile	424.8
Q1	2077
median	4148
Q3	6218
95-th percentile	7879.2
Maximum	8291
Range	8289
Interquartile range (IQR)	4141

Descriptive statistics

Standard deviation	2390.894749
Coefficient of variation (CV)	0.5762377382
Kurtosis	-1.196031006
Mean	4149.146421
Median Absolute Deviation (MAD)	2071
Skewness	0.001183643904
Sum	31935980
Variance	5716377.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	1	< 0.1%
5432	1	< 0.1%
5528	1	< 0.1%
5527	1	< 0.1%
5526	1	< 0.1%
5525	1	< 0.1%
5523	1	< 0.1%
5522	1	< 0.1%
5521	1	< 0.1%
5520	1	< 0.1%
Other values (7687)	7687	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
8291	1	< 0.1%
8290	1	< 0.1%
8289	1	< 0.1%
8288	1	< 0.1%
8287	1	< 0.1%
8286	1	< 0.1%
8285	1	< 0.1%
8284	1	< 0.1%
8283	1	< 0.1%
8282	1	< 0.1%

incident_diabetes
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	436.1 KiB

0	6993
1	704

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7697
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6993	90.9%
1	704	9.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6993	90.9%
1	704	9.1%

Most occurring characters

Value	Count	Frequency (%)
0	6993	90.9%
1	704	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7697	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6993	90.9%
1	704	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	7697	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6993	90.9%
1	704	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7697	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6993	90.9%
1	704	9.1%

diabetes_time
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	866
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.73929214

Minimum	0.02999999933
Maximum	14.96000004
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	0.02999999933
5-th percentile	6.079999924
Q1	14.76000023
median	14.81999969
Q3	14.88000011
95-th percentile	14.93000031
Maximum	14.96000004
Range	14.93000004
Interquartile range (IQR)	0.1199998856

Descriptive statistics

Standard deviation	2.935263634
Coefficient of variation (CV)	0.2136400938
Kurtosis	7.112100601
Mean	13.73929214
Median Absolute Deviation (MAD)	0.06000041962
Skewness	-2.81443119
Sum	105751.3281
Variance	8.615773201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.81999969	515	6.7%
14.88000011	492	6.4%
14.80000019	476	6.2%
14.84000015	450	5.8%
14.92000008	409	5.3%
14.89999962	391	5.1%
14.85999966	361	4.7%
14.93999958	281	3.7%
14.93000031	272	3.5%
14.77999973	262	3.4%
Other values (856)	3788	49.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.02999999933	1	< 0.1%
0.07999999821	1	< 0.1%
0.1400000006	1	< 0.1%
0.150000006	2	< 0.1%
0.1700000018	1	< 0.1%
0.2099999934	1	< 0.1%
0.25	1	< 0.1%
0.3300000131	2	< 0.1%
0.400000006	2	< 0.1%
0.4199999869	2	< 0.1%

Value	Count	Frequency (%)
14.96000004	2	< 0.1%
14.93999958	281	3.7%
14.93000031	272	3.5%
14.92000008	409	5.3%
14.90999985	262	3.4%
14.89999962	391	5.1%
14.89000034	223	2.9%
14.88000011	492	6.4%
14.86999989	251	3.3%
14.85999966	361	4.7%

age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.59828505

Minimum	24
Maximum	74
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	24
5-th percentile	27
Q1	37
median	48
Q3	58
95-th percentile	69
Maximum	74
Range	50
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	13.13774328
Coefficient of variation (CV)	0.2760129544
Kurtosis	-1.008195018
Mean	47.59828505
Median Absolute Deviation (MAD)	10
Skewness	0.02104560191
Sum	366364
Variance	172.6002985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	256	3.3%
55	243	3.2%
54	203	2.6%
43	195	2.5%
42	193	2.5%
39	188	2.4%
52	187	2.4%
37	187	2.4%
50	186	2.4%
44	182	2.4%
Other values (41)	5677	73.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
24	70	0.9%
25	142	1.8%
26	167	2.2%
27	139	1.8%
28	159	2.1%
29	131	1.7%
30	149	1.9%
31	146	1.9%
32	157	2.0%
33	165	2.1%

Value	Count	Frequency (%)
74	38	0.5%
73	73	0.9%
72	91	1.2%
71	78	1.0%
70	70	0.9%
69	91	1.2%
68	100	1.3%
67	110	1.4%
66	101	1.3%
65	85	1.1%

male
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	436.1 KiB

0	4092
1	3605

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7697
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	4092	53.2%
1	3605	46.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4092	53.2%
1	3605	46.8%

Most occurring characters

Value	Count	Frequency (%)
0	4092	53.2%
1	3605	46.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7697	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4092	53.2%
1	3605	46.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	7697	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4092	53.2%
1	3605	46.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7697	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4092	53.2%
1	3605	46.8%

BMI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	7548
Distinct (%)	98.1%
Missing	4
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	26.72398376

Minimum	15.83675671
Maximum	55.97962952
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	15.83675671
5-th percentile	20.50849838
Q1	23.5651207
median	26.17281914
Q3	29.18943024
95-th percentile	35.03690567
Maximum	55.97962952
Range	40.14287281
Interquartile range (IQR)	5.62430954

Descriptive statistics

Standard deviation	4.526644707
Coefficient of variation (CV)	0.1693851054
Kurtosis	1.69921124
Mean	26.72398376
Median Absolute Deviation (MAD)	2.766759872
Skewness	0.9362901449
Sum	205587.6094
Variance	20.49051285
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24.03461075	3	< 0.1%
21.51691055	3	< 0.1%
28.3599205	2	< 0.1%
20.75844002	2	< 0.1%
24.48605919	2	< 0.1%
24.46030045	2	< 0.1%
22.68431091	2	< 0.1%
21.77596092	2	< 0.1%
28.70982933	2	< 0.1%
24.14126968	2	< 0.1%
Other values (7538)	7671	99.7%
(Missing)	4	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15.83675671	1	< 0.1%
16.37446404	1	< 0.1%
16.78290749	1	< 0.1%
16.81723022	1	< 0.1%
16.89015007	1	< 0.1%
16.97460938	1	< 0.1%
16.97692108	1	< 0.1%
17.01846886	1	< 0.1%
17.15185928	1	< 0.1%
17.23607063	1	< 0.1%

Value	Count	Frequency (%)
55.97962952	1	< 0.1%
53.3474617	1	< 0.1%
52.01060104	1	< 0.1%
51.04481125	1	< 0.1%
48.86034393	1	< 0.1%
48.5961113	1	< 0.1%
48.42119217	1	< 0.1%
48.37353897	1	< 0.1%
48.09280014	1	< 0.1%
46.77568817	1	< 0.1%

HDL
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	261
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.510970473

Minimum	0.3100000024
Maximum	4.199999809
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	0.3100000024
5-th percentile	0.9399999976
Q1	1.210000038
median	1.460000038
Q3	1.75
95-th percentile	2.289999962
Maximum	4.199999809
Range	3.889999807
Interquartile range (IQR)	0.5399999619

Descriptive statistics

Standard deviation	0.4159130454
Coefficient of variation (CV)	0.2752622068
Kurtosis	1.220328689
Mean	1.510970473
Median Absolute Deviation (MAD)	0.2599999905
Skewness	0.830974102
Sum	11629.93945
Variance	0.1729836613
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.299999952	95	1.2%
1.49000001	91	1.2%
1.409999967	88	1.1%
1.399999976	85	1.1%
1.549999952	85	1.1%
1.190000057	84	1.1%
1.179999948	84	1.1%
1.24000001	84	1.1%
1.370000005	83	1.1%
1.379999995	83	1.1%
Other values (251)	6835	88.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.3100000024	1	< 0.1%
0.4699999988	1	< 0.1%
0.5	1	< 0.1%
0.5199999809	2	< 0.1%
0.5299999714	1	< 0.1%
0.5899999738	2	< 0.1%
0.6000000238	2	< 0.1%
0.6200000048	1	< 0.1%
0.6399999857	2	< 0.1%
0.6499999762	2	< 0.1%

Value	Count	Frequency (%)
4.199999809	1	< 0.1%
3.769999981	1	< 0.1%
3.75999999	1	< 0.1%
3.720000029	1	< 0.1%
3.609999895	1	< 0.1%
3.5	1	< 0.1%
3.420000076	1	< 0.1%
3.410000086	1	< 0.1%
3.160000086	2	< 0.1%
3.150000095	1	< 0.1%

LDL
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	513
Distinct (%)	6.7%
Missing	14
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.356531382

Minimum	0.7699999809
Maximum	9.550000191
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	0.7699999809
5-th percentile	2
Q1	2.720000029
median	3.299999952
Q3	3.910000086
95-th percentile	4.929999828
Maximum	9.550000191
Range	8.78000021
Interquartile range (IQR)	1.190000057

Descriptive statistics

Standard deviation	0.9024052024
Coefficient of variation (CV)	0.2688505054
Kurtosis	0.8598174453
Mean	3.356531382
Median Absolute Deviation (MAD)	0.5900001526
Skewness	0.5335271358
Sum	25788.23047
Variance	0.8143351078
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.799999952	49	0.6%
3.589999914	47	0.6%
3.089999914	45	0.6%
2.900000095	43	0.6%
3.339999914	43	0.6%
3.24000001	43	0.6%
3.400000095	42	0.5%
2.690000057	42	0.5%
3.430000067	42	0.5%
3.299999952	42	0.5%
Other values (503)	7245	94.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.7699999809	1	< 0.1%
0.8000000119	1	< 0.1%
0.8399999738	1	< 0.1%
0.8600000143	1	< 0.1%
1	1	< 0.1%
1.00999999	1	< 0.1%
1.029999971	1	< 0.1%
1.039999962	1	< 0.1%
1.059999943	1	< 0.1%
1.080000043	1	< 0.1%

Value	Count	Frequency (%)
9.550000191	1	< 0.1%
8.93999958	1	< 0.1%
7.840000153	1	< 0.1%
7.760000229	1	< 0.1%
7.440000057	1	< 0.1%
7.400000095	1	< 0.1%
7.139999866	2	< 0.1%
6.940000057	1	< 0.1%
6.889999866	1	< 0.1%
6.829999924	1	< 0.1%

trig
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	469
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.407413244

Minimum	0.2700000107
Maximum	18.45999908
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	0.2700000107
5-th percentile	0.5899999738
Q1	0.8399999738
median	1.159999967
Q3	1.659999967
95-th percentile	3.019999981
Maximum	18.45999908
Range	18.18999907
Interquartile range (IQR)	0.8199999928

Descriptive statistics

Standard deviation	0.9503949881
Coefficient of variation (CV)	0.6752778292
Kurtosis	44.55989075
Mean	1.407413244
Median Absolute Deviation (MAD)	0.3699999452
Skewness	4.537890911
Sum	10832.85938
Variance	0.9032506347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.8299999833	85	1.1%
0.8799999952	76	1.0%
1.00999999	75	1.0%
0.8199999928	73	0.9%
0.7599999905	73	0.9%
0.9800000191	72	0.9%
0.8100000024	71	0.9%
0.9200000167	70	0.9%
0.7900000215	70	0.9%
0.8000000119	69	0.9%
Other values (459)	6963	90.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2700000107	2	< 0.1%
0.3000000119	1	< 0.1%
0.3100000024	1	< 0.1%
0.3199999928	1	< 0.1%
0.3300000131	1	< 0.1%
0.3400000036	1	< 0.1%
0.3600000143	5	0.1%
0.3700000048	2	< 0.1%
0.3799999952	5	0.1%
0.3899999857	8	0.1%

Value	Count	Frequency (%)
18.45999908	1	< 0.1%
17.23999977	1	< 0.1%
14.15999985	1	< 0.1%
12.75	1	< 0.1%
11.73999977	1	< 0.1%
11	1	< 0.1%
10.67000008	1	< 0.1%
10.5	1	< 0.1%
10.21000004	1	< 0.1%
9.979999542	1	< 0.1%

SBP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	134
Distinct (%)	1.7%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	134.715683

Minimum	89
Maximum	228
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	89
5-th percentile	108
Q1	120
median	132
Q3	146
95-th percentile	171
Maximum	228
Range	139
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.81209183
Coefficient of variation (CV)	0.1470659673
Kurtosis	0.7745363712
Mean	134.715683
Median Absolute Deviation (MAD)	13
Skewness	0.8007217646
Sum	1036502.5
Variance	392.5190125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
124	184	2.4%
127	181	2.4%
126	177	2.3%
121	177	2.3%
129	174	2.3%
128	174	2.3%
125	174	2.3%
130	174	2.3%
123	173	2.2%
131	172	2.2%
Other values (124)	5934	77.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
89	1	< 0.1%
91	2	< 0.1%
92	2	< 0.1%
93	2	< 0.1%
94	3	< 0.1%
95	4	0.1%
96	11	0.1%
97	8	0.1%
98	11	0.1%
99	15	0.2%

Value	Count	Frequency (%)
228	1	< 0.1%
227	2	< 0.1%
226	1	< 0.1%
219	1	< 0.1%
218	1	< 0.1%
217	1	< 0.1%
215	1	< 0.1%
214	3	< 0.1%
213	1	< 0.1%
212	1	< 0.1%

DBP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	83
Distinct (%)	1.1%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	79.01624298

Minimum	39
Maximum	126
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	39
5-th percentile	61
Q1	71
median	79
Q3	87
95-th percentile	98
Maximum	126
Range	87
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.33845806
Coefficient of variation (CV)	0.1434952766
Kurtosis	0.1288583875
Mean	79.01624298
Median Absolute Deviation (MAD)	8
Skewness	0.1495639384
Sum	607951
Variance	128.5606384
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	305	4.0%
79	293	3.8%
83	268	3.5%
81	265	3.4%
80	263	3.4%
78	263	3.4%
74	260	3.4%
75	256	3.3%
85	247	3.2%
76	245	3.2%
Other values (73)	5029	65.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
39	1	< 0.1%
42	1	< 0.1%
43	1	< 0.1%
44	1	< 0.1%
45	2	< 0.1%
46	5	0.1%
47	1	< 0.1%
48	4	0.1%
49	8	0.1%
50	5	0.1%

Value	Count	Frequency (%)
126	1	< 0.1%
124	2	< 0.1%
123	1	< 0.1%
122	1	< 0.1%
120	2	< 0.1%
119	1	< 0.1%
117	3	< 0.1%
116	4	0.1%
115	4	0.1%
114	4	0.1%

hypertension
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	451.1 KiB

0.0	5837
1.0	1860

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	23091
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5837	75.8%
1.0	1860	24.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5837	75.8%
1.0	1860	24.2%

Most occurring characters

Value	Count	Frequency (%)
0	13534	58.6%
.	7697	33.3%
1	1860	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15394	66.7%
Other Punctuation	7697	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13534	87.9%
1	1860	12.1%

Other Punctuation

Value	Count	Frequency (%)
.	7697	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23091	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13534	58.6%
.	7697	33.3%
1	1860	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23091	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13534	58.6%
.	7697	33.3%
1	1860	8.1%

fasting
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	27
Distinct (%)	0.4%
Missing	20
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	5.845252037

Minimum	0
Maximum	31
Zeros	4
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	5
Q3	6
95-th percentile	14
Maximum	31
Range	31
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.108305454
Coefficient of variation (CV)	0.5317658782
Kurtosis	6.96020937
Mean	5.845252037
Median Absolute Deviation (MAD)	1
Skewness	2.49319315
Sum	44874
Variance	9.66156292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
5	2756	35.8%
4	1709	22.2%
6	1365	17.7%
7	450	5.8%
3	238	3.1%
2	189	2.5%
8	160	2.1%
15	112	1.5%
14	110	1.4%
16	99	1.3%
Other values (17)	489	6.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	0.1%
1	71	0.9%
2	189	2.5%
3	238	3.1%
4	1709	22.2%
5	2756	35.8%
6	1365	17.7%
7	450	5.8%
8	160	2.1%
9	66	0.9%

Value	Count	Frequency (%)
31	1	< 0.1%
28	2	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	3	< 0.1%
21	3	< 0.1%
20	14	0.2%
19	13	0.2%
18	48	0.6%
17	59	0.8%

fasting_glucose
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	362
Distinct (%)	11.1%
Missing	4421
Missing (%)	57.4%
Infinite	0
Infinite (%)	0.0%
Mean	5.829258442

Minimum	4.159999847
Maximum	18.81999969
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	4.159999847
5-th percentile	4.900000095
Q1	5.360000134
median	5.71999979
Q3	6.130000114
95-th percentile	6.960000038
Maximum	18.81999969
Range	14.65999985
Interquartile range (IQR)	0.7699999809

Descriptive statistics

Standard deviation	0.8572081923
Coefficient of variation (CV)	0.1470527053
Kurtosis	58.63638687
Mean	5.829258442
Median Absolute Deviation (MAD)	0.3799996376
Skewness	5.31879282
Sum	19096.65039
Variance	0.734805882
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.739999771	35	0.5%
5.380000114	34	0.4%
5.480000019	33	0.4%
5.619999886	29	0.4%
5.71999979	29	0.4%
5.820000172	29	0.4%
5.53000021	29	0.4%
5.630000114	28	0.4%
5.590000153	28	0.4%
5.610000134	27	0.4%
Other values (352)	2975	38.7%
(Missing)	4421	57.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.159999847	1	< 0.1%
4.260000229	1	< 0.1%
4.269999981	1	< 0.1%
4.320000172	1	< 0.1%
4.329999924	1	< 0.1%
4.389999866	1	< 0.1%
4.400000095	1	< 0.1%
4.409999847	1	< 0.1%
4.440000057	3	< 0.1%
4.449999809	1	< 0.1%

Value	Count	Frequency (%)
18.81999969	1	< 0.1%
17.13999939	1	< 0.1%
16.87000084	1	< 0.1%
16.70999908	1	< 0.1%
16.26000023	1	< 0.1%
14.64000034	1	< 0.1%
13.86999989	1	< 0.1%
13.42000008	1	< 0.1%
12.93999958	1	< 0.1%
12.71000004	1	< 0.1%

fasting_insulin
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	288
Distinct (%)	8.8%
Missing	4421
Missing (%)	57.4%
Infinite	0
Infinite (%)	0.0%
Mean	8.934035301

Minimum	0.8000000119
Maximum	117.0999985
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	0.8000000119
5-th percentile	3
Q1	5.099999905
median	7.300000191
Q3	10.80000019
95-th percentile	19.79999924
Maximum	117.0999985
Range	116.2999985
Interquartile range (IQR)	5.700000286

Descriptive statistics

Standard deviation	6.581742764
Coefficient of variation (CV)	0.7367043495
Kurtosis	42.87613678
Mean	8.934035301
Median Absolute Deviation (MAD)	2.600000381
Skewness	4.44527483
Sum	29267.90039
Variance	43.31933594
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.199999809	48	0.6%
5.300000191	46	0.6%
6.900000095	45	0.6%
5.099999905	44	0.6%
6	43	0.6%
5.800000191	41	0.5%
4.5	41	0.5%
7	40	0.5%
5	39	0.5%
7.5	39	0.5%
Other values (278)	2850	37.0%
(Missing)	4421	57.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.8000000119	2	< 0.1%
1	1	< 0.1%
1.200000048	2	< 0.1%
1.299999952	2	< 0.1%
1.399999976	1	< 0.1%
1.5	4	0.1%
1.600000024	7	0.1%
1.700000048	5	0.1%
1.799999952	6	0.1%
1.899999976	10	0.1%

Value	Count	Frequency (%)
117.0999985	1	< 0.1%
91.69999695	1	< 0.1%
75.19999695	1	< 0.1%
71.69999695	1	< 0.1%
67	1	< 0.1%
56.20000076	1	< 0.1%
55.90000153	1	< 0.1%
55	1	< 0.1%
53	1	< 0.1%
52.79999924	1	< 0.1%

HbA1c
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	1.0%
Missing	3348
Missing (%)	43.5%
Infinite	0
Infinite (%)	0.0%
Mean	36.00069046

Minimum	20
Maximum	142
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	20
5-th percentile	30
Q1	33
median	36
Q3	38
95-th percentile	42
Maximum	142
Range	122
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.656335831
Coefficient of variation (CV)	0.1293401867
Kurtosis	86.22382355
Mean	36.00069046
Median Absolute Deviation (MAD)	3
Skewness	4.902283192
Sum	156567
Variance	21.68146324
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
36	565	7.3%
34	550	7.1%
37	538	7.0%
38	451	5.9%
33	442	5.7%
39	319	4.1%
32	312	4.1%
40	253	3.3%
31	213	2.8%
41	139	1.8%
Other values (33)	567	7.4%
(Missing)	3348	43.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	1	< 0.1%
21	1	< 0.1%
23	1	< 0.1%
25	4	0.1%
26	19	0.2%
27	35	0.5%
28	42	0.5%
29	68	0.9%
30	114	1.5%
31	213	2.8%

Value	Count	Frequency (%)
142	1	< 0.1%
105	1	< 0.1%
103	1	< 0.1%
79	1	< 0.1%
74	1	< 0.1%
70	1	< 0.1%
64	1	< 0.1%
62	1	< 0.1%
58	1	< 0.1%
57	2	< 0.1%

current_smoker
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	38
Missing (%)	0.5%
Memory size	450.4 KiB

0.0	5647
1.0	2012

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	22977
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5647	73.4%
1.0	2012	26.1%
(Missing)	38	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5647	73.7%
1.0	2012	26.3%

Most occurring characters

Value	Count	Frequency (%)
0	13306	57.9%
.	7659	33.3%
1	2012	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15318	66.7%
Other Punctuation	7659	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13306	86.9%
1	2012	13.1%

Other Punctuation

Value	Count	Frequency (%)
.	7659	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22977	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13306	57.9%
.	7659	33.3%
1	2012	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22977	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13306	57.9%
.	7659	33.3%
1	2012	8.8%

ex_smoker
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	436.1 KiB

0	6058
1	1639

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7697
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6058	78.7%
1	1639	21.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6058	78.7%
1	1639	21.3%

Most occurring characters

Value	Count	Frequency (%)
0	6058	78.7%
1	1639	21.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7697	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6058	78.7%
1	1639	21.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	7697	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6058	78.7%
1	1639	21.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7697	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6058	78.7%
1	1639	21.3%

exercise
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	112
Missing (%)	1.5%
Memory size	448.9 KiB

2.0	4100
3.0	1702
1.0	1692
4.0	91

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	22755
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	3.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	4100	53.3%
3.0	1702	22.1%
1.0	1692	22.0%
4.0	91	1.2%
(Missing)	112	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	4100	54.1%
3.0	1702	22.4%
1.0	1692	22.3%
4.0	91	1.2%

Most occurring characters

Value	Count	Frequency (%)
.	7585	33.3%
0	7585	33.3%
2	4100	18.0%
3	1702	7.5%
1	1692	7.4%
4	91	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15170	66.7%
Other Punctuation	7585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7585	50.0%
2	4100	27.0%
3	1702	11.2%
1	1692	11.2%
4	91	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	7585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	7585	33.3%
0	7585	33.3%
2	4100	18.0%
3	1702	7.5%
1	1692	7.4%
4	91	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	7585	33.3%
0	7585	33.3%
2	4100	18.0%
3	1702	7.5%
1	1692	7.4%
4	91	0.4%

healthy_vegetables
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	0.2%
Missing	168
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	10.72174263

Minimum	3
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	3
5-th percentile	5
Q1	8
median	11
Q3	13
95-th percentile	16
Maximum	18
Range	15
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.412720203
Coefficient of variation (CV)	0.3182990253
Kurtosis	-0.5452287793
Mean	10.72174263
Median Absolute Deviation (MAD)	2
Skewness	-0.119201526
Sum	80724
Variance	11.64665985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
11	835	10.8%
10	808	10.5%
12	798	10.4%
13	744	9.7%
9	688	8.9%
8	597	7.8%
14	596	7.7%
15	478	6.2%
7	450	5.8%
6	369	4.8%
Other values (6)	1166	15.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	118	1.5%
4	192	2.5%
5	261	3.4%
6	369	4.8%
7	450	5.8%
8	597	7.8%
9	688	8.9%
10	808	10.5%
11	835	10.8%
12	798	10.4%

Value	Count	Frequency (%)
18	143	1.9%
17	132	1.7%
16	320	4.2%
15	478	6.2%
14	596	7.7%
13	744	9.7%
12	798	10.4%
11	835	10.8%
10	808	10.5%
9	688	8.9%

junk_food
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	0.3%
Missing	136
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	8.333156586

Minimum	5
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	5
5-th percentile	5
Q1	6
median	8
Q3	10
95-th percentile	14
Maximum	24
Range	19
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.023710728
Coefficient of variation (CV)	0.3628529906
Kurtosis	1.059070587
Mean	8.333156586
Median Absolute Deviation (MAD)	2
Skewness	1.053599954
Sum	63007
Variance	9.142827034
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
5	1461	19.0%
6	1227	15.9%
7	885	11.5%
8	865	11.2%
9	829	10.8%
10	657	8.5%
11	509	6.6%
12	364	4.7%
13	272	3.5%
14	170	2.2%
Other values (10)	322	4.2%
(Missing)	136	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	1461	19.0%
6	1227	15.9%
7	885	11.5%
8	865	11.2%
9	829	10.8%
10	657	8.5%
11	509	6.6%
12	364	4.7%
13	272	3.5%
14	170	2.2%

Value	Count	Frequency (%)
24	3	< 0.1%
23	1	< 0.1%
22	4	0.1%
21	2	< 0.1%
20	13	0.2%
19	16	0.2%
18	29	0.4%
17	58	0.8%
16	74	1.0%
15	122	1.6%

total_fiber
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	0.5%
Missing	419
Missing (%)	5.4%
Infinite	0
Infinite (%)	0.0%
Mean	31.862463

Minimum	9
Maximum	48
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	30.2 KiB

Quantile statistics

Minimum	9
5-th percentile	21
Q1	28
median	32
Q3	36
95-th percentile	41
Maximum	48
Range	39
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.202386856
Coefficient of variation (CV)	0.1946612448
Kurtosis	-0.07558012009
Mean	31.862463
Median Absolute Deviation (MAD)	4
Skewness	-0.3200424314
Sum	231895
Variance	38.46960449
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
33	487	6.3%
34	475	6.2%
35	452	5.9%
30	440	5.7%
31	439	5.7%
32	427	5.5%
36	416	5.4%
37	361	4.7%
28	360	4.7%
29	360	4.7%
Other values (30)	3061	39.8%
(Missing)	419	5.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	1	< 0.1%
10	2	< 0.1%
11	2	< 0.1%
12	9	0.1%
13	7	0.1%
14	18	0.2%
15	20	0.3%
16	21	0.3%
17	42	0.5%
18	41	0.5%

Value	Count	Frequency (%)
48	3	< 0.1%
47	11	0.1%
46	23	0.3%
45	38	0.5%
44	66	0.9%
43	86	1.1%
42	132	1.7%
41	153	2.0%
40	211	2.7%
39	304	3.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	SampleID	incident_diabetes	diabetes_time	age	male	BMI	HDL	LDL	trig	SBP	DBP	hypertension	fasting	fasting_glucose	fasting_insulin	HbA1c	ex_smoker	exercise	healthy_vegetables	junk_food	total_fiber
0	1	2	0	14.82	69	0	43.784050	1.60	3.88	1.85	178.0	79.0	0.0	5.0	6.91	19.600000	37.0	0	3.0	15.0	7.0	41.0
1	2	3	0	14.82	72	1	23.035959	1.55	2.97	1.12	156.0	75.0	1.0	6.0	NaN	NaN	37.0	0	3.0	8.0	6.0	32.0
2	3	4	1	2.20	68	0	39.421661	1.20	2.80	2.33	154.0	80.0	0.0	4.0	8.83	33.400002	NaN	0	1.0	13.0	NaN	35.0
3	4	5	0	14.82	60	0	27.896681	1.70	2.98	1.29	121.0	77.0	0.0	6.0	5.86	8.800000	38.0	0	2.0	9.0	8.0	37.0
4	5	6	0	14.82	25	1	24.795719	1.25	3.10	0.84	139.0	78.0	0.0	15.0	NaN	NaN	27.0	1	2.0	11.0	6.0	34.0
5	6	7	0	14.82	59	0	26.264620	1.77	2.80	0.83	139.0	64.0	0.0	4.0	6.72	8.000000	34.0	0	2.0	16.0	10.0	45.0
6	7	8	1	6.12	59	0	38.279789	1.71	4.01	2.14	192.0	83.0	1.0	15.0	NaN	NaN	39.0	0	1.0	11.0	8.0	33.0
7	8	9	0	14.82	38	1	24.278509	1.28	2.63	1.32	118.0	63.0	0.0	4.0	NaN	NaN	33.0	0	3.0	9.0	6.0	28.0
8	9	10	0	14.82	58	0	24.270260	1.47	3.80	1.52	167.0	76.0	0.0	5.0	NaN	NaN	34.0	0	2.0	12.0	9.0	37.0
9	10	11	0	14.82	27	0	31.679911	1.35	3.33	0.97	121.0	65.0	0.0	4.0	NaN	NaN	32.0	0	2.0	10.0	13.0	35.0

Last rows

	df_index	SampleID	incident_diabetes	diabetes_time	age	male	BMI	HDL	LDL	trig	SBP	DBP	hypertension	fasting	fasting_glucose	fasting_insulin	HbA1c	current_smoker	ex_smoker	exercise	healthy_vegetables	junk_food	total_fiber
7687	8281	8282	0	14.94	27	0	21.600662	2.06	2.39	1.21	123.0	70.0	0.0	5.0	NaN	NaN	34.0	0.0	0	3.0	13.0	10.0	32.0
7688	8282	8283	0	14.94	46	1	23.605682	0.95	3.26	3.23	118.0	82.0	0.0	6.0	5.69	12.0	37.0	0.0	0	2.0	10.0	15.0	33.0
7689	8283	8284	0	2.98	57	0	25.188099	1.45	2.80	1.41	157.0	87.0	0.0	5.0	6.25	6.0	40.0	0.0	1	3.0	14.0	5.0	39.0
7690	8284	8285	1	7.02	59	0	29.174709	1.21	3.24	2.53	138.0	82.0	0.0	6.0	6.37	10.3	42.0	0.0	0	2.0	16.0	5.0	44.0
7691	8285	8286	1	6.06	64	1	23.524204	1.24	2.69	1.37	168.0	73.0	1.0	5.0	6.80	11.0	46.0	0.0	1	2.0	6.0	5.0	21.0
7692	8286	8287	0	14.89	35	1	21.626297	1.70	3.02	1.01	129.0	72.0	0.0	4.0	NaN	NaN	33.0	0.0	0	4.0	8.0	13.0	27.0
7693	8287	8288	0	10.54	69	1	23.877653	1.53	4.87	1.44	125.0	70.0	0.0	7.0	6.10	4.8	37.0	0.0	0	2.0	11.0	9.0	33.0
7694	8288	8289	0	14.89	44	1	26.055933	1.53	3.61	0.93	131.0	75.0	1.0	4.0	NaN	NaN	36.0	0.0	0	3.0	7.0	11.0	27.0
7695	8289	8290	0	14.89	30	0	25.044785	1.63	2.11	0.85	123.0	71.0	0.0	5.0	NaN	NaN	37.0	0.0	0	3.0	10.0	8.0	30.0
7696	8290	8291	0	14.89	27	0	21.744848	1.20	2.44	1.61	134.0	64.0	0.0	2.0	NaN	NaN	32.0	1.0	0	1.0	11.0	7.0	28.0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common